Object-based image retrieval through learning from user search patterns and profiles

Yaowu Xu; Eli S. Saber; A. Murat Tekalp

doi:10.1117/12.373554

23 December 1999 Object-based image retrieval through learning from user search patterns and profiles

Yaowu Xu, Eli S. Saber, A. Murat Tekalp

Proceedings Volume 3972, Storage and Retrieval for Media Databases 2000; (1999) https://doi.org/10.1117/12.373554
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

In this paper, we propose a self-learning content-based image indexing and retrieval system. Our system employs a hierarchical content representation and a hierarchical content matching method for effective and efficient image/object retrieval. the 'learning' behavior is enabled by our proposed hierarchical content representation which allows easy storage of combinations of regions that have resulted in successful matches to objects of interest as determined by user search patterns and profiles. The learning step effectively performs an automatic analysis of database images into meaningful objects given certain user search patterns and interest profiles. The advantages of the proposed hierarchical content representation and 'learning' schemes are demonstrated on a collection of car and face images, where the significant improvements in search and retrieval speed are described both theoretically and experimentally.

Citation Download Citation

Yaowu Xu, Eli S. Saber, and A. Murat Tekalp "Object-based image retrieval through learning from user search patterns and profiles", Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); https://doi.org/10.1117/12.373554

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KEYWORDS

Composites

Image segmentation

Image retrieval

Databases

Image analysis

Visualization

Image processing

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